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A suitable likelihood function is proposed, taking lack of collocation, statistical robustness, and correlated errors into account, and shows to provide a robust and low computational cost sensor fusion.
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Because of the large number of parameter-rich tests of sequence evolution that can conceivably be performed on a given alignment, it is important to clearly articulate the tested hypotheses and use a hierarchical approach to data analysis that allows suitable likelihood tests.
Then, we derive two adaptive detectors relying on the Rao test and a suitable modification of the generalized likelihood ratio test (GLRT).
We can set the threshold $r$ for the likelihood to a suitable value, such that the total probability of the region of rejection $R_{r}$ is below a given level of error, for example, $P_{h}(R) < 0.05$.
However, the aim of our method is to optimize the network structure with respect to the network likelihood, so a suitable network structure search strategy has to be chosen.
This assay can be used during lead generation or optimization to identify antibodies with increased risk of having fast clearance in both humans and cynomolgus monkeys, thus increasing the likelihood of obtaining a suitable drug candidate.
It can thus be hypothesised that Estonian women living in cities are more likely than others to be in minority majority unions because ethnic minorities are concentrated in cities, increasing the likelihood of meeting a suitable partner.
Based on a suitable substitution model [ 40], evolutionary distances between sequence structure pairs have been estimated by maximum likelihood.
A suitable suitor?
A suitable villain.
A Suitable Fern Q.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com